How to use CapoCapped/T5Base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="CapoCapped/T5Base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("CapoCapped/T5Base") model = AutoModelWithLMHead.from_pretrained("CapoCapped/T5Base", device_map="auto")
https://huggingface.co/CapoCapped/T5Base/resolve/070204aa967d77f9be8d66b3f3dcd3035cc07fdd/tokenizer.json
hf download hf://CapoCapped/T5Base@070204aa967d77f9be8d66b3f3dcd3035cc07fdd/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/CapoCapped/T5Base/resolve/070204aa967d77f9be8d66b3f3dcd3035cc07fdd/tokenizer.json
